Triple
T15377653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prospect |
E367710
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Prospect (2014 short film) |
E367710
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Prospect (2014 short film) | Statement: [Prospect, basedOn, Prospect (2014 short film)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prospect (2014 short film) Context triple: [Prospect, basedOn, Prospect (2014 short film)]
-
A.
Prospect
Prospect is a small coastal community within the Halifax Regional Municipality in Nova Scotia, Canada, known for its rugged shoreline and fishing heritage.
-
B.
Prospect
Prospect is a small suburban town in New Haven County, Connecticut, known for its residential character and local community atmosphere.
-
C.
Prospect
chosen
Prospect is a 2018 science fiction film in which Pedro Pascal stars as a mercenary on a dangerous mission to harvest valuable gems on a toxic alien moon.
-
D.
The Dreamer (short film)
The Dreamer is a short film by filmmaker Miguel Sapochnik, known for its visually driven storytelling and atmospheric, genre-inflected style.
-
E.
Trip (short film)
Trip (short film) is a short cinematic work, likely independent or festival-oriented, that explores its themes within a brief runtime using a concise narrative format.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e5ece1081908d7c1289258b9c1f |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b56dd1c81909a3933330e85fe0e |
completed | May 9, 2026, 10:24 a.m. |
Created at: April 10, 2026, 3:18 a.m.